Abstract
The state of health (SOH) is a critical factor to guarantee that a battery system will operate in a safe and reliable manner for the whole lifetime period. The estimation of the lifetime period is important for effective and failure - free working. Many factors affect the rate of the degradation of batteries. Every cell has a typical dissimilar mechanism of degradation. A method of the state of health (SOH) is discussed in this contribution. A hybrid method takes advantage of combining the autoregressive exogenous battery model (ARX) and the Kalman filter.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
